AdTechTalent
Data Science4 months agoOn-site

InMobi Advertising

Lead – Business Analytics & Insights

SQLDatabricksBigQuerySnowflakePower BITableauLookerPythonstatistical modelingforecastingAImachine learningconversational BINLQagentic BIanalyticsdata sciencebusiness intelligenceadtechrevopsGTM

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Lead

Years experience

3-5

Location

Bengaluru, India

Full job description

InMobi Advertising is seeking a Lead Business Intelligence Analyst to transform the Global Business Analytics & Insights team into an AI-powered decision intelligence layer. The role involves designing scalable BI frameworks that evolve from dashboards to automated decision workflows, developing semantic layers and metric definitions, and building AI-powered analytics agents using Databricks and warehouse technologies. Responsibilities include forecasting revenue, detecting anomalies, identifying growth drivers, generating actionable insights, enabling self-serve analytics, ensuring data quality and governance, and collaborating cross-functionally with GTM, strategy, and product teams. Candidates should have 4-8 years of experience in analytics, BI, RevOps, or strategy roles, strong SQL skills, experience with BI tools (Power BI, Tableau, Looker), Python, and a strong analytical mindset. Experience or interest in AI/ML applications, conversational BI, and adtech is a plus. The position is full-time and located in Bangalore, India. Benefits include daily meals, gym and yoga classes, training, social events, and a pet/kid-friendly workplace.

What you'll do

  • Design and own scalable BI frameworks evolving from dashboards to insights, recommendations, and automated actions
  • Develop semantic layers and metric definitions to standardize decision-making across teams
  • Transition organization from report consumption to decision intelligence systems
  • Define and execute roadmap toward agentic BI with AI agents answering business questions autonomously
  • Build use cases for automatic query translation, proactive insights generation, and conversational interface outputs
  • Partner in building AI-powered analytics agents on Databricks and warehouse layers
  • Build models to forecast revenue and pipeline health, detect anomalies, and identify growth drivers and inefficiencies
  • Develop leading indicator frameworks and early warning systems for GTM performance
  • Identify root causes of business trends and translate data into actionable recommendations
  • Support leadership with narrative-driven insights
  • Build self-serve analytics experiences tailored to different personas
  • Reduce dependency on analysts by enabling intuitive, trustworthy data access
  • Drive adoption from dashboard reviews to intelligent system reviews
  • Ensure data quality and governance across systems like Salesforce, Databricks, and BI tools
  • Investigate data discrepancies and build robust governance mechanisms
  • Collaborate with data engineering to ensure clean, reliable, scalable pipelines
  • Partner with GTM teams (Marketing, Sales), GTM enablement teams (Strategy, Revenue Operations, Finance), and Product & Marketplace teams
  • Influence decision-making through data-backed narratives
  • Identify opportunities to automate reporting workflows, eliminate redundant analysis, and build reusable analytics assets

Requirements

  • Strong SQL and experience working with large-scale datasets (Databricks, BigQuery, Snowflake, etc.)
  • Experience with BI tools (Power BI, Tableau, Looker)
  • Strong analytical thinking: root cause analysis, hypothesis testing, problem structuring
  • Experience building end-to-end analytics solutions
  • 4–8 years in analytics / BI / RevOps / strategy roles
  • Experience working with GTM / revenue teams
  • Exposure to data modeling and metric design
  • Experience with Python / statistical modeling / forecasting
  • Experience or interest in AI/ML applications in analytics
  • Experience or interest in Conversational BI / NLQ systems
  • Experience or interest in building internal data products
  • Prior AdTech / Marketplace experience

Tech stack

SQLDatabricksBigQuerySnowflakePower BITableauLookerPythonAI agentsLLMsAutomation frameworks

Benefits

Daily mealsGym and yoga classesCutting-edge training and toolsCocktails at drink cart ThursdaysFun at work on Funky FridaysBring your kids and pets to work

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